CAS Performance Optimization and Troubleshooting Flashcards

Which technique is most effective for reducing application response time when database queries are the primary bottleneck in a CAS-certified application?

Answer: Implementing query result caching

Implementing query result caching reduces repeated database hits and significantly lowers response times when queries are the bottleneck.

In CAS application troubleshooting, what does a high CPU utilization combined with low memory usage typically indicate?

Answer: Inefficient algorithms or compute-intensive processes

High CPU with low memory usage points to inefficient algorithms or tight loops that consume processor cycles without requiring large data buffers.

Which load testing metric is most critical for establishing performance baselines in a CAS application deployment?

Answer: Number of concurrent users at peak throughput with acceptable response time

Concurrent users at peak throughput with acceptable response time defines the system's capacity boundary and is the core baseline metric.

What is the purpose of profiling an application during CAS performance optimization?

Answer: To identify code hotspots consuming the most execution time

Profiling instruments the running application to pinpoint which functions or code paths consume the most CPU and memory resources.

During CAS application troubleshooting, an error log shows repeated 'connection pool exhausted' messages. What is the most appropriate first step?

Answer: Increase the maximum connection pool size after analyzing current usage patterns

Analyzing current usage patterns first ensures the pool size increase is appropriate and rules out connection leaks before tuning the limit.

Which caching strategy stores precomputed results at the time data is written rather than when it is first requested?

Answer: Write-through caching

Write-through caching updates the cache simultaneously when data is written, ensuring the cache always holds current values without a first-request miss.